We're a team of Machine Learning Engineers that blog about advances in Deep Learning.

1. Vision Transformers for Computer Vision (2021-09-07)
2. Few Shot Learning from Scratch (2021-07-06)
3. Basic Policy Gradients with the Reparameterization Trick (2021-04-13)
4. A Little Rusty? ML Refresher on Linear Regression (2021-02-19)
5. Language Translation with Transformers in PyTorch (2021-01-22)
6. What are Transformers? (2020-09-02)
7. Searching for Better Neural Architecture Search (2020-06-17)
8. Making SinGAN Double (2020-04-15)

1. AutoKeras Notebook (2020-06-11)

1. https://www.cs.toronto.edu/~graves/handwriting.html

Note:

1. Hour glass
2. U-net
3. Dense-net/Resnet
4. SqueezeNet